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This release fixes issues for SREs watching stability and regressions.

Published 7d MCP Developer Tools
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai-agents brand-governance brand-guidelines brand-identity brand-voice claude
+5 more
codex cursor design-tokens mcp model-context-protocol

Summary

AI summary

Fixed MCP error handling to correctly mark failures and updated brand_context paths with accurate documentation.

Changes in this release

Bugfix Medium

Fenced errors now set isError: true in MCP envelope

Fenced errors now set isError: true in MCP envelope

Source: llm_adapter@2026-07-20

Confidence: medium

Bugfix Medium

brand_context instructions reference correct data paths for next_steps and tool description

brand_context instructions reference correct data paths for next_steps and tool description

Source: llm_adapter@2026-07-20

Confidence: medium

Bugfix Medium

A/B receipt‑arm documentation updated to reflect experiment_arm stamping and dirty‑diff hash

A/B receipt‑arm documentation updated to reflect experiment_arm stamping and dirty‑diff hash

Source: llm_adapter@2026-07-20

Confidence: medium

Full changelog

Three findings from the Codex 0.16.0 review, all conceded:

Fixed

  • Fenced errors keep MCP error semantics: the #45 error fence returned the structured envelope without isError: true, so generic MCP clients could classify a failed execution as success. Now returns isError: true with the same fenced envelope.
  • brand_context instructions point at real paths: next_steps and the tool description referenced data.context / data.output_contract; buildResponse spreads data at the top level. Corrected, with client-level path assertions.
  • A/B receipt-arm documentation corrected: clean/dirty tree stamps do NOT distinguish experiment arms (receipts accumulate as untracked files). RESULTS.md prose corrected, scores unchanged; receipts now stamp experiment_arm (EVAL_ARM env) + a dirty-diff hash.

1,004 tests.

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About Brand-System/brandsystem-mcp

Make your brand machine-readable. Extract brand identity (colors, fonts, logo, voice, visual rules) from any website via static CSS + rendered-page extraction, compile into DTCG tokens, brand runtime contracts, and interaction policies. 34 tools across 4 progressive sessions. Subscribable `brand://runtime` and `brand://policy` MCP resources. Content compliance scoring (0-100), pass/fail gate, and HTML/CSS preflight. Brandcode Studio connector for hosted brand sync.

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Beta — feedback welcome: [email protected]